Top 10 Companies Hiring AI Engineers in Toledo, OH in 2026

Table of Contents

• Introduction: AI Gets Real in Toledo
• First Solar
• Stellantis
• ProMedica
• Owens Corning
• Dana Incorporated
• Bausch + Lomb
• Hylant
• The University of Toledo
• KeyBank
• Progressive Insurance
• Frequently Asked Questions

First Solar

Stepping into a role at First Solar means choosing the road of industrial-scale sustainability. This isn't just a solar panel manufacturer; its Perrysburg R&D hub is a hotbed for "Performance and Prediction Analytics," where AI is fundamental to competitive edge. Engineers here work at the intersection of renewable energy and large-scale automation, building models that predict solar module efficiency and automate quality inspection with computer vision.

The tech stack is Python-dominant, heavily integrated with Manufacturing Execution Systems (MES), AWS, and Spark for processing massive telemetry data. According to local job data, the interview process reflects this industrial focus, emphasizing time-series analysis and cross-functional system design for the Internet of Things.

Compensation matches the high-impact work, with salaries for AI/ML Engineer II roles ranging from $109,500 to $156,000 and senior positions reaching up to $300,000. For engineers passionate about deploying AI that directly combats climate change, it’s the region's premier destination for industrial-scale data science. You can explore openings like the Engineer- IT AI II role in Perrysburg to start your journey.

Stellantis

Choosing Stellantis means your AI work will have immediate, physical consequence on the factory floor. The home of Jeep is deploying intelligence that doesn't just recommend an action but directly controls the machinery building iconic vehicles. Engineers support both autonomous driving through global software teams and smart manufacturing at the Toledo Assembly Complex, working on high-stakes projects like autonomous assembly line robotics and predictive maintenance for stamping plants.

The technical environment demands expertise in PyTorch and C++ for autonomous systems, ROS for robotics, and Azure for MLOps. Reflecting the critical need for reliability, the interview process tests deep ML theory and system design for low-latency inference - essential when your model controls a robotic arm. Salaries are competitive, with standard Software/ML Engineers earning an estimated $102,000 to $142,000 and senior roles exceeding $173,000.

This is the road of tangible automation. You can explore current AI roles in the region and review detailed Stellantis salary data to gauge where you might fit into this high-impact manufacturing ecosystem.

ProMedica

Opting for ProMedica steers your career onto the road of human impact, where AI directly influences health outcomes. As Toledo's largest employer, the organization applies machine learning to drive clinical decision support, operational efficiency, and life-saving diagnostics. Projects range from natural language processing for mining medical records to optimizing complex hospital staffing logistics, placing your work at the heart of patient care.

The technical environment requires a blend of SQL, Python, and R, often integrated with specialized healthcare platforms like Epic's AI modules. Uniquely, the interview process places a heavy emphasis on data privacy (HIPAA compliance), SQL-based data modeling, and statistical ML theory, ensuring engineers can navigate the sensitive healthcare landscape. The average salary for IT/AI roles is a robust $105,446, with senior levels reaching $184,875.

The reward here transcends compensation; it's the profound impact of seeing your models improve community health. You can review specific ProMedica salary data and explore broader AI roles in Toledo's healthcare sector to find your fit in this vital field.

Owens Corning

Choosing Owens Corning means your AI work will navigate the complex global highways of supply and production. This leader in building materials has deeply integrated machine learning into its core operations, solving problems in global logistics and advanced material science. Projects include demand forecasting for insulation, automated defect detection in fiberglass using computer vision, and NLP to enhance customer service.

The engineering team typically works with Python (Scikit-learn, XGBoost), SAP systems, and Azure Machine Learning to build reliable models that scale across continents. Reflecting the real-world business focus, the interview process often involves a take-home data challenge focused on a supply chain or manufacturing problem, testing your ability to translate data into dependable business logic.

Compensation is strong, with a median salary of $120,600 for Data Scientists and ML Engineers commanding between $128,000 and $202,000. As highlighted in industry analysis, this is where AI gets real in industrial systems, offering a career path for those who want to apply advanced analytics to the physical world of manufacturing and global commerce.

Dana Incorporated

At Dana Incorporated, you're not just building AI models - you're directing the core intelligence of the mobility revolution. Focused on electrification and software-defined vehicles for commercial markets, Dana's engineers work on cutting-edge projects like predictive maintenance algorithms for heavy-duty axles and modeling the health of EV batteries.

The tech stack reflects this embedded systems focus, uniquely combining MATLAB/Simulink for control systems with Python and C++. Consequently, the interview process delves into control theory, signal processing, and Python coding for embedded environments, ensuring you can build intelligence that interacts with mechanical reality. According to 2026 salary data, compensation for Product and ML Engineers ranges from $105,000 to $162,000.

This is the road for engineers fascinated by the tangible transition to electric and autonomous commercial vehicles. It’s a chance to solve problems at the critical intersection of software and mechanical systems, contributing directly to the next generation of mobility from a key northwest Ohio employer. Explore more on specific engineering roles at Dana to see where your skills could drive this evolution.

Bausch + Lomb

Selecting Bausch + Lomb steers you toward a career defined by extreme precision in medical device manufacturing. Toledo's historic optics giant has aggressively modernized, creating specialized roles in "AI Agent" and ML engineering focused on developing autonomous agents for internal workflow automation and employing computer vision for flawless lens quality assurance.

You’ll work with a sophisticated stack including Python, generative AI frameworks like LangChain, and build vision-based ML models where accuracy is non-negotiable. As noted in regional job market analysis, the interview process is tailored to these needs, focusing on Agentic AI design principles and computer vision fundamentals.

Compensation reflects the high-stakes, specialized nature of this work, with reported total packages for AI Agent ML Engineers reaching approximately $200,000. This role is for the engineer who values building reliable, high-precision intelligence in a stable, globally recognized medical device manufacturer, where your code ensures product quality and patient safety.

Hylant

With Hylant, you navigate the nuanced world of risk and finance, building the AI infrastructure that underpins modern insurance. As one of the nation's largest privately held insurance brokerages, the company transforms risk management through projects centered on predictive risk models, client-facing AI assistants, and the foundational "Lead Data & Analytics" architecture.

The stack prioritizes enterprise reliability, combining tools like Microsoft Fabric and Power BI with core data science languages like Python and SQL. The interview process, as detailed in listings for roles like Lead Data & Analytics Architect, emphasizes data modeling, enterprise system design, and the crucial ability to translate complex insights for business stakeholders.

Salaries for Lead Architects and Engineers are estimated between $104,000 and $134,000. This path is ideal for AI engineers who want to shape the strategic data direction of a major regional enterprise and apply intelligence to the complex domain of professional services, a growing sector within Toledo's AI landscape.

The University of Toledo

Choosing The University of Toledo means taking the road less traveled, venturing into the uncharted territory of foundational AI research. UT acts as a vital incubator, hiring research engineers for grant-funded projects in collaboration with national labs on frontiers like cybersecurity, human-AI teaming, and AI safety.

The environment is academic and exploratory, with a tech stack built around PyTorch, TensorFlow, and Linux-based high-performance computing clusters. Interviews resemble academic reviews, focusing on your grasp of ML theory, experimental design, and research publications. According to salary data from Robert Half, compensation for AI/ML Analysts and Research Engineers aligns with the region's strong tech demand, ranging from $106,000 to $154,000.

The "interest factor" is unparalleled: the opportunity to work on open-ended problems that may define the next decade of AI, all while mentoring future talent. This path is for those drawn to pure innovation, contributing to the knowledge base that fuels the broader industry, a critical role noted in industry analysis of the field's growth.

KeyBank

KeyBank represents the road of enterprise-scale financial AI, offering Toledo-based engineers a remote or hybrid path to a mature fintech environment. While headquartered in Cleveland, the bank's sophisticated data science teams are a primary target for local talent, building large-scale, secure systems used by millions for fraud detection, personalized banking, and LLM-based customer service automation.

The stack is built for massive financial datasets, utilizing Python, PySpark, Snowflake, and AWS SageMaker. The interview process is rigorous, involving deep Python testing and system design for high-concurrency environments, reflecting the critical need for reliability in banking systems. As highlighted by Purpose Jobs' analysis of top Midwest AI companies, this is a chance to work within a leading financial institution's AI division.

Compensation reflects the premium on this secure, large-scale expertise, with mid-to-senior ML Engineers commanding salaries between $130,000 and $190,000. This path allows you to gain experience in a robust financial AI ecosystem - noted for its ethical AI considerations - without leaving the Toledo area, leveraging the region's growing connectivity to major metro markets.

Progressive Insurance

Progressive Insurance offers the road of massive-scale data intelligence, consistently ranked among the top AI employers in the Midwest. For Toledo-based engineers, it's a chance to work within one of the most data-rich and sophisticated machine learning environments in the country, tackling foundational problems like telematics analysis for the Snapshot program, real-time pricing models, and computer vision for automated claims processing.

The technical stack includes specialized tools like H2O.ai alongside Python and extensive cloud-native MLOps pipelines, built to handle the immense datasets of a Fortune 100 insurer. The interview process rigorously tests statistical modeling, coding, and case studies on model deployment lifecycle management, ensuring engineers can manage complexity at scale. As recognized in analyses of leading Midwest AI companies, Progressive's environment is uniquely mature.

For experienced ML Engineers, salaries are highly competitive, ranging from $140,000 to $210,000. This path is for those who want their intelligence to operate at the core of a data-driven business, influencing products for millions of customers. It represents the pinnacle of applying AI to the complex, actuarial world of risk, a sector where AI is fundamentally transforming models and customer experience.

Frequently Asked Questions